Python Courses & Resources
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Master Python with step-by-step courses – from basics to advanced projects and practical applications. Admin: @HusseinSheikho
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Tarmoq:📈 Telegram kanali Python Courses & Resources analitikasi
Python Courses & Resources (@python53) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 50 370 obunachidan iborat bo'lib, Taʼlim toifasida 3 427-o'rinni va Hindiston mintaqasida 7 085-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 50 370 obunachiga ega bo‘ldi.
29 Avgust, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 321 ga, so‘nggi 24 soatda esa 11 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 2.44% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.34% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 1 227 marta ko‘riladi; birinchi sutkada odatda 675 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 2 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent consultation, dentist, insidead, waybienad, appointment kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Master Python with step-by-step courses – from basics to advanced projects and practical applications.
Admin: @HusseinSheikho”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 30 Avgust, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
50 370
Obunachilar
+1124 soatlar
-427 kunlar
+32130 kunlar
Postlar arxiv
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Learn how to solve key IT operations tasks using AI. In this course, you will discover how to use AI to accelerate root cause analysis, improve IT support response times, and much more. The course includes practical solutions with Python, Jupyter Notebooks, Keras, and deep learning methods.
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